摘要
采用实验测试与数值仿真的方法对NCR18650A三元锂电池组在1~3 C放电和1.6 C充电过程的温升特性进行测试,同时验证所建立电池产热模型的准确性。结果显示,实验测试结果与电池产热模型仿真结果之间的相对误差在合理范围内,满足工程应用需求。电池组在自然冷却的情况下,仅在1 C放电状态下符合其最佳工作区间42.5~45.0℃的要求,3 C放电倍率下最高温度为89.4℃。提出并建立基于热电致冷主动热管理模型,将热电致冷组件设置在电池组上方,致冷功率为50 W时可有效控制电池组3 C放电过程的温度,在最佳工作区间实现电池单体温差小于5℃,抑制电池组的热失效并实现良好的均温性。
In order to analyze the temperature rise characteristics of ternary lithium battery during charging and discharging at different rates, the temperature rise characteristics of NCR18650 A ternary lithium battery pack during 1-3 C discharge and 1.6 C charging process were tested by experimental test and numerical simulation, and the accuracy of the battery heat generation model was verified. The deviation between the tested result and the simulated result was within a reasonable range, meeting the requirements of engineering application. Under the condition of natural cooling, the battery pack only met the requirements of its best working range of 42.5-45.0 ℃ under 1 C discharge state, and the maximum temperature under 3 C discharge rate was 89.4 ℃. In order to improve the working performance and safety of power battery, the active thermal management model of thermoelectric refrigeration was established. The thermoelectric cooling module was set above the battery pack. When the cooling power was 50 W, it can reduce the temperature of the battery pack under the 3 C discharge rate and realize that the temperature difference of the battery unit was less than 5 ℃, effectively suppress the thermal failure of the battery pack and achieve good temperature uniformity.
作者
林涛
赖沛恒
李丽雅
韩凤琴
LIN Tao;LAI Pei-heng;LI Li-ya;HAN Feng-qin(School of Electrical Engineering,Guangzhou College of South China University of Technology,Guangzhou 510800,China;School of Electric Power,South China University of Technology,Guangzhou 510640,China)
出处
《新能源进展》
2020年第6期455-461,共7页
Advances in New and Renewable Energy
基金
广东省普通高校特色创新项目(CQ1700007)
广东省重点学科建设项目(CQ1700003)
广东省科技创新战略专项资金(大学生科技创新培育)立项项目(pdjh2020b0818)。
关键词
NCR18650A
电池热管理
热电致冷
数值仿真
NCR18650A
battery thermal management
thermoelectric refrigeration
numerical simulation